A retrospective study of arterial stiffness and subsequent clinical outcomes in cancer patients undergoing percutaneous coronary intervention

Impact of Cardio-Ankle Vascular Index on Future Cancer in Patients With Coronary Artery Disease

Background

Cardiovascular risk factors are associated with increased risk of future cancer. However, the relationship between quantitative parameters of atherosclerosis and future cancer risk is unclear.

Methods and Results

A total of 1,057 consecutive patients with coronary artery disease was divided into 2 groups according to the cutoff value of the cardio-ankle vascular index (CAVI) derived by receiver operating characteristic curve analysis: low CAVI group (CAVI <8.82; n=487), and high CAVI group (CAVI ≥8.82; n=570). Patients in the high CAVI group were older and had a higher prevalence of diabetes, chronic kidney disease, anemia and history of stroke compared with patients in the low CAVI group. There were 141 new cancers during the follow-up period. The cumulative incidence of new cancer was significantly higher in the high CAVI group than in the low CAVI group (P=0.001). In a multivariate Cox proportional hazard analysis, high CAVI was found to be an independent predictor of new cancer diagnosis (hazard ratio 1.62; 95% confidence interval 1.11-2.36; P=0.012). In the analysis of individual cancer types, high CAVI was associated with lung cancer (hazard ratio 2.85; 95% confidence interval 1.01-8.07; P=0.049).

Conclusions

High CAVI was associated with the risk of future cancer in patients with coronary artery disease.

Risk Prediction Score for Cancer Development in Patients With Acute Coronary Syndrome

BACKGROUND

Cancer is a known prognostic factor in patients with acute coronary syndrome (ACS), but few risk assessments of cancer development after ACS have been established.

METHODS AND RESULTS

Of the 573 consecutive ACS admissions between January 2015 and March 2018 in Nobeoka City, Japan, 552 were analyzed. Prevalent cancer was defined as a treatment history of cancer, and incident cancer as post-discharge cancer incidence. The primary endpoint was post-discharge cancer incidence, and the secondary endpoint was all-cause death during follow-up. All-cause death occurred in 9 (23.1%) patients with prevalent cancer, and in 17 (3.5%) without cancer. In the multivariable analysis, prevalent cancer was associated with all-cause death. To develop the prediction model for cancer incidence, 21 patients with incident cancer and 492 without cancer were analyzed. We compared the performance of D-dimer with that of the prediction model, which added age (≥65 years), smoking history, and high red blood cell distribution width to albumin ratio (RAR) to D-dimer. The areas under the receiver-operating characteristics curves of D-dimer and the prediction model were 0.619 (95% confidence interval: 0.512-0.725) and 0.774 (0.676-0.873), respectively. Decision curve analysis showed superior net benefits of the prediction model.

CONCLUSIONS

By adding elderly, smoking, and high RAR to D-dimer to the prediction model it became clinically useful for predicting cancer incidence after ACS.

Malignant cancer may increase the risk of all-cause in-hospital mortality in patients with acute myocardial infarction: a multicenter retrospective study of two large public databases

BACKGROUND

Acute myocardial infarction (AMI) and cancer are diseases with high morbidity and mortality worldwide, bringing a serious economic burden, and they share some risk factors. The purpose of this study was to determine the effect of cancer on the all-cause in-hospital mortality of patients with AMI.

METHODS

This multicenter retrospective study analyzed patients with AMI from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database and eICU Collaborative Research Database (eICU-CRD) in the United States. Patients were divided into two groups based on whether they had concomitant malignant cancer: cancer and noncancer groups. The outcome was all-cause in-hospital mortality. The association between the two groups and their outcomes were analyzed using Kaplan-Meier and Cox proportional-hazards regression models. Propensity score matching (PSM) and propensity score based inverse probability of treatment weighting (IPTW) were used to further adjust for confounding variables to verify the stability of the results.

RESULTS

The study included 3,034 and 5,968 patients with AMI from the MIMIC-IV database and the eICU-CRD, respectively. Kaplan-Meier survival curves indicated that the probability of in-hospital survival was lower in patients with cancer than in those without cancer. After adjusting for potential confounding variables using multivariable Cox proportional hazards regression, the risk of all-cause in-hospital mortality was significantly higher in the cancer than the noncancer group, and the HR (95% CI) values for the cancer group were 1.56(1.22,1.98) and 1.35(1.01,1.79) in the MIMIC-IV database and the eICU-CRD, respectively. The same results were obtained after using PSM and IPTW, which further verified the results.

CONCLUSIONS

Among the patients with AMI, the all-cause in-hospital mortality risk of those with cancer was higher than those without cancer. Therefore, when treating such patients, comprehensive considerations should be made from a multidisciplinary perspective involving cardiology and oncology, with the treatment plan adjusted accordingly.

Cardiac computed tomography-derived myocardial tissue characterization after anthracycline treatment

AIMS

Understanding cardiac function after anthracycline administration is very important from the perspective of preventing the onset of heart failure. Although cardiac magnetic resonance and echocardiography are recognized as the 'gold standard' for detecting cardiotoxicity, they have many shortcomings. We aimed to investigate whether cardiac computed tomography (CCT) could replace these techniques, assessing serial changes in cardiac tissue characteristics as determined by CCT after anthracycline administration.

METHODS AND RESULTS

We prospectively investigated 15 consecutive breast cancer patients who were scheduled to receive anthracycline therapy. We performed echocardiography and CCT before and 3, 6, and 12 months after anthracycline treatment. The mean cumulative administered anthracycline dose was 269.9 ± 14.6 mg/m² (doxorubicin-converted dose). Of the 15 enrolled patients who received anthracycline treatment for breast cancer, none met the definition of cardiotoxicity. The CCT-derived extracellular volume fraction tended to continue to increase after anthracycline treatment and had relatively similar dynamics to the left ventricular ejection fraction and global longitudinal strain as determined by echocardiography.

CONCLUSIONS

Our findings indicated that CCT could provide adequate information about the characteristics of myocardial tissue after anthracycline administration. CCT may improve the understanding of cardiotoxicity by compensating for the weaknesses of echocardiography. This technique could be useful for understanding cardiac tissue characterization as a 'one-stop shop' evaluation, providing new insight into cardiooncology.

HFA-PEFF scores: prognostic value in heart failure with preserved left ventricular ejection fraction

BACKGROUND/AIMS

The Heart Failure Association (HFA)-PEFF score is recognized as a simple method to diagnose heart failure (HF) with preserved ejection fraction (HFpEF). This study aimed to evaluate the relationship between HFA-PEFF scores and cardiovascular outcomes in HFpEF patients.

METHODS

A total of 502 consecutive HFpEF patients were prospectively observed for up to 1,500 days. Cardiovascular outcomes were compared between two groups of patients, defined by their HFA-PEFF scores: those who scored 2-4 (the intermediate-score group) and those who scored 5-6 group (the high-score group). Overall, 236 cardiovascular events were observed during the follow-up period (median, 1,159 days).

RESULTS

Kaplan-Meier analysis showed that there were significant differences in composite cardiovascular events and HF-related events between the intermediate-score group and the high-score group (p = 0.003 and p < 0.001, respectively). Multivariate Cox proportional hazards analysis showed that the HFA-PEFF scores significantly predicted future HF-related events (hazard ratio, 1.66; 95% confidence interval [CI], 1.11 to 2.50; p = 0.014); receiver operating characteristic analysis confirmed this relationship (area under the curve, 0.633; 95% CI, 0.574 to 0.692; p < 0.001). The cutoff HFA-PEFF score for the identification of HF-related events was 4.5. Decision curve analysis revealed that combining the HFA-PEFF score with conventional prognostic factors improved the prediction of HF-related events.

CONCLUSION

HFA-PEFF scores may be useful for predicting HF-related events in HFpEF patients.

Associations of cardiovascular risk factors with survival outcomes in a cancer registration: Findings from the KUMAMON registry

Although the relationship between cardiovascular diseases and malignant diseases has recently attracted attention, the associations of cardiovascular risk factors and clinical outcomes in cancer patients remain to be elucidated. We performed a retrospective, observational study that explored the clinical outcomes of patients with cancer or with a history of cancer.We enrolled 30,706 consecutive adult cancer patients from Kumamoto University Hospital. We investigated mortality and morbidity, including cardiovascular conditions (dyslipidemia [DL]/diabetes mellitus [DM]/hypertension [HT]). The primary endpoint was all-cause mortality.Of the enrolled patients, 9032 patients (29.4%) died within the follow-up period. The Kaplan-Meier analysis demonstrated that in the groups classified according to the number of DL/DM/HT (LDH) factors, the LDH1 and LDH2 groups had a significantly higher probability of the primary endpoint than the LDH0 group (P < .001 and P < .001, respectively), whereas there were no significant differences between the LDH0 group and LDH3 group (P = .963). Univariate Cox proportional hazards regression analyses of mortality complemented by the multiple imputation method including various factors demonstrated that the presence of DL in cancer patients was a significant negative predictor of mortality (hazard ratio = 0.79, P < .01).The all-cause mortality rate did not always increase as the number of LDH factors increased. The present study revealed that the presence of DL is a negative risk factor for all-cause mortality in cancer patients.

Validation of the Khorana Venous Thromboembolism Risk Score in Japanese Cancer Patients

Background

Although the Khorana venous thromboembolism (VTE) risk score (KRS) is well recognized as a simple VTE risk assessment method in patients with cancer, whether it is suitable for Asian populations is unclear.

Objectives

This study validated KRS for the prediction of VTE and investigated the value of the KRS in predicting mortality in Japanese patients with cancer.

Methods

A body mass index value of 25 kg/m² or more was defined as obesity according to World Health Organization consensus. A total of 27,687 patients with cancer were subdivided into low- (0), intermediate- (1-2), and high-score (3) groups by the KRS. The primary and secondary endpoints were VTE and all-cause mortality, respectively.

Results

The prevalence of VTE was 1.7%, 7.3%, and 11.0% for low-, intermediate-, and high-score patients, respectively. Receiver operating characteristic (ROC) analysis showed that the KRS significantly predicted VTE (area under the curve, 0.679; 95% confidence interval [CI] 0.666-0.692; P < 0.001). The cutoff value for the KRS was 1.0. Logistic regression analysis demonstrated that the KRS was an independent predictor of VTE (odds ratio 1.766; 95% CI 1.673-1.865; P < 0.01). The cutoff value of the KRS for all-cause mortality determined by ROC analysis was 2.0. Kaplan–Meier analysis demonstrated a significantly higher incidence of mortality in the KRS ≥2 group than in the KRS 0-1 group (log-rank: P < 0.01).

Conclusions

The KRS was useful in Japanese patients with cancer and might be a potentially useful marker for the prediction of mortality. Establishing optimal scores for Japanese subjects is mandatory because of its low diagnostic ability. (KUMAMON Cancer registry; UMIN000047554)

Temporal trends in short and long-term outcomes after percutaneous coronary interventions among cancer patients

While mortality of acute coronary syndrome (ACS) is known to have steadily decline over the last decades, data are lacking regarding the complex sub-population of patients with both coronary artery disease and cancer. A large single-center percutaneous coronary intervention (PCI) registry was used to retrieve patients who had a known diagnosis of malignancy during PCI. Patients were divided into two groups according to the period in which PCI was performed (period 1: 2006-2011, period 2: 2012-2017). Cox regression hazard models were implemented to compare primary endpoint, defined as the composite outcomes of major adverse cardiac events (MACE) (which include cardiovascular death, myocardial infarction or target vessel revascularization) and secondary endpoint of all-cause mortality, between the two time periods. A total of 3286 patients were included, 1819 (55%) had undergone PCI in period 1, and 1467 (45%) in period 2. Both short- and long-term MACE and overall mortality were significantly lower in patients who underwent PCI at the latter period (2.3% vs. 4.3%, p < 0.001 and 1.1% vs. 3.2%, p < 0.001 after 30 days and 24% vs. 30%, p < 0.001 and 12% vs. 22%, p < 0.001 after 2 years, respectively). However, in a multivariate analysis, going through PCI in the latter period was still associated with lower rates of overall mortality (HR 0.708, 95% confidence interval [CI] 0.53-0.93, p = 0.014) but there was no significant difference in MACE (HR 0.83, 95% CI 0.75-1.42, p = 0.16). Patients with cancer undergoing PCI during our most contemporary period had an improved overall survival, but no significant differences were observed in the composite cardiovascular endpoints, compared to an earlier PCI period. The management of coronary patients with cancer disease remains challenging.

Impact of cancer history on clinical outcome in patients undergoing transcatheter edge-to-edge mitral repair

Background

Little is known about the prevalence of a history of cancer and its impact on clinical outcome in mitral regurgitation (MR) patients undergoing transcatheter mitral valve repair (TMVR).

Objectives

The purpose of this study is to investigate the prevalence of cancer, baseline inflammatory parameters, and clinical outcome in MR patients undergoing TMVR.

Methods

Consecutive patients undergoing a MitraClip procedure were enrolled, and the patients were stratified into two groups: cancer and non-cancer. Baseline complete blood counts (CBC) with differential hemograms were collected prior to the procedure to calculate the platelet-to-lymphocyte ratio (PLR) and neutrophil-to-lymphocyte ratio (NLR). All-cause death within a one-year was examined.

Results

In total, 82 out of 446 patients (18.4%) had a history of cancer. Cancer patients had a significantly higher baseline PLR [181.4 (121.1–263.9) vs. 155.4 (109.4–210.4); P = 0.012] and NLR [5.4 (3.5–8.3) vs. 4.0 (2.9–6.1); P = 0.002] than non-cancer patients. A Kaplan–Meier analysis revealed that cancer patients had a significantly worse prognosis than non-cancer (estimated 1-year mortality, 20.2 vs. 9.2%; log-rank P = 0.009), and multivariable analyses of three models showed that cancer history was an independent factor for 1-year mortality. Patients who died during follow-up had a significantly higher baseline PLR [214.2 (124.2–296.7) vs. 156.3 (110.2–212.1); P = 0.007] and NLR [6.4 (4.2–12.5) vs. 4.0 (2.9–6.2); P < 0.001] than survivors.

Conclusions

In MitraClip patients, a history of cancer was associated with higher inflammatory parameters and worse prognosis compared to non-cancer patients.

Graphical Abstract

Central Illustration. Clinical outcomes and baseline PLR and NLR values accord-ing to one-year mortality. (Left) Patients who died within the follow-up period had a significantly higher baseline PLR (214.2 [124.2–296.7] vs 156.3 [110.2–212.1]; P = 0.007) and NLR (6.4 [4.2–12.5] vs 4.0 [2.9–6.2]; P < 0.001) than patients who survived. PLR, platelet-to-lymphocyte ratio; NLR, neutrophil-to-lymphocyte ratio (Right) A Kaplan-Meier analysis revealed that cancer patients had a significantly worse prognosis than non-cancer patients (estimated one-year mortality, 20.2 vs 9.2%; log-rank P = 0.009).

Electronic supplementary material

The online version of this article (10.1007/s00392-020-01770-2) contains supplementary material, which is available to authorized users.

Arterial stiffness is an independent predictor for risk of mortality in patients with type 2 diabetes mellitus: the REBOUND study

Background

This study aimed to evaluate the benefit of brachial-ankle pulse wave velocity (baPWV) as a noninvasive marker of arterial stiffness for the prediction of all-cause and cause-specific mortality in patients with type 2 diabetes.

Methods

This multicenter prospective observational study analyzed 2308 patients with type 2 diabetes between 2008 and 2018. The patients were categorized according to the quartiles of baPWV. Cause of mortality was determined using death certificates and patient clinical records. We estimated proportional mortality rates from all causes, cardiovascular, cancer, and other causes among adults with diabetic status according to their baPWV. Cox regression models were used to estimate hazard ratios (HRs).

Results

There were 199 deaths (8.6%) in the study population during a median follow-up duration of 8.6 years. When baPWV was assessed as quartiles, a significantly higher risk of all-cause mortality (HR = 5.39, P < 0.001), cardiovascular-mortality (HR = 14.89, P < 0.001), cancer-mortality (HR = 5.42, P < 0.001), and other-cause mortality (HR = 4.12, P < 0.001) was found in quartile 4 (Q4, ≥ 1830 cm/s) than in quartiles 1–3 (Q1–3). Adding baPWV to baseline model containing conventional risk factors such as age, sex, diabetes duration, body mass index, glycated hemoglobin, systolic blood pressure, glomerular filtration rate, smoking, and insulin improved the risk prediction for all-cause (net reclassification index (NRI) = 49%, P < 0.001) and cause-specific (cardiovascular NRI = 28%, P = 0.030; cancer NRI = 55%, P < 0.001; other-cause NRI 51%, P < 0.001) mortality.

Conclusion

This long-term, large-scale, multicenter prospective observational cohort study provide evidence that increased arterial stiffness, as measured by baPWV, predicts the risk of all-cause and cause-specific mortality in type 2 diabetes, supporting the prognostic utility of baPWV.

Trial registration Clinical Research Information Service (CRIS), KCT 0005010. Retrospectively Registered May 12, 2020. https://cris.nih.go.kr/cris/search/search_result_st01.jsp?seq=16677

State of the Art Review: Brachial-Ankle PWV

The brachial-ankle pulse wave velocity (brachial-ankle PWV), which is measured simply by wrapping pressure cuffs around the four extremities, is a simple marker to assess the stiffness of the medium- to large- sized arteries. The accuracy and reproducibility of its measurement have been confirmed to be acceptable. Risk factors for cardiovascular disease, especially advanced age and high blood pressure, are reported to be associated with an increase of the arterial stiffness. Furthermore, arterial stiffness might be involved in a vicious cycle with the development/progression of hypertension, diabetes mellitus and chronic kidney disease. Increase in the arterial stiffness is thought to contribute to the development of cardiovascular disease via pathophysiological abnormalities induced in the heart, brain, kidney, and also the arteries themselves. A recent independent participant data meta-analysis conducted in Japan demonstrated that the brachial-ankle PWV is a useful marker to predict future cardiovascular events in Japanese subjects without a previous history of cardiovascular disease, independent of the conventional model for the risk assessment. The cutoff point may be 16.0 m/s in individuals with a low risk of cardiovascular disease (CVD), and 18.0 m/s in individuals with a high risk of CVD and subjects with hypertension. In addition, the method of measurement of the brachial-ankle PWV can also be used to calculate the inter-arm systolic blood pressure difference and ankle-brachial pressure index, which are also useful markers for cardiovascular risk assessment.

The controlling nutritional status score predicts outcomes of cardiovascular events in patients with heart failure with preserved ejection fraction

Backgrounds

The relationship between cardiovascular outcomes and the Controlling Nutritional Status (CONUT) score in heart failure (HF) with preserved ejection fraction (HFpEF) patients is unknown. This study aimed to evaluate the relationship between the score and cardiovascular outcomes in HFpEF patients.

Methods and results

A total of 506 consecutive HFpEF patients were prospectively observed for up to 1500 days or until the occurrence of cardiovascular events. The mean age was 71.6 ± 9.4 years. Cardiovascular outcomes were compared between the CONUT score 0–1 group with a normal nutritional state (normal group), the CONUT score 2–4 group with a light degree of undernutrition (light group), and the CONUT score 5–8 group with a moderate degree of undernutrition (moderate group). In this study, there were no patients who scored 9–12, which was defined as a severe state of undernutrition. Overall, 238 cardiovascular events were observed during the follow-up period (median: 1159 days). Kaplan–Meier analysis showed that the moderate group was at higher risk of composite cardiovascular events than the normal group (P < 0.001) and the light group (P = 0.031). The analysis also showed that the light group was at higher risk of composite cardiovascular events than the normal group (P = 0.038). Multivariable Cox proportional hazards analysis with the significant factors from the univariate analysis showed that the CONUT score (hazard ratio: 1.12, 95% confidence interval: 1.03–1.21, P = 0.005) significantly predicted future cardiovascular events.

Conclusion

Nutritional screening using the CONUT score may be useful for predicting cardiovascular events in HFpEF patients.

Prognostic impact of cancer history in patients undergoing transcatheter aortic valve implantation

BACKGROUND

The benefit of TAVI in cancer patients is currently unclear.

OBJECTIVES

The purpose of this study is to investigate prognostic impact of cancer status (active cancer or previous cancer) in severe aortic stenosis (AS) patients undergoing transcatheter aortic valve implantation (TAVI).

METHODS

Consecutive TAVI patients in the Heart Center Bonn were enrolled and we stratified the patients into three groups: current cancer (active cancer), non-current cancer (previous cancer), or no cancer. The primary outcome was all-cause death within a 5-year follow-up. We evaluated mean aortic pressure gradient (mPG) values following TAVI (baseline mPG) and at the final follow-up (follow-up mPG).

RESULTS

In total, 1568 TAVI patients were eligible and 298 patients (19.0%) had active or previous cancer. At the 5-year follow-up, cancer patients had a significantly worse prognosis than non-cancer patients (log rank, P < 0.001). In a multivariable analysis, previous cancer was a significant predictor for 5-year mortality (hazard ratio [HR], 1.56; P < 0.001). Estimated mortality rates at 5-year follow-up rates among active cancer, previous cancer, and non-cancer were 84.0%, 65.8%, and 50.2% (long-rank P < 0.001), respectively. The hazard ratios of active cancer and previous cancer for 5-year mortality were 2.79 (P < 0.001) and 1.38 (P = 0.019) compared to non-cancer patients. We found significantly higher mPG during follow-up than at baseline in cancer patients (follow-up 8.10 vs baseline 7.40 mmHg; Wilcoxon P = 0.012).

CONCLUSIONS

Active, and also previous, cancer status are associated with less beneficial long-term prognosis in TAVI patients.

Outcomes of percutaneous coronary interventions in cancer patients

Introduction: There are numerous shared risk factors in the etiopathogenesis of coronary artery disease (CAD) and cancer both at epidemiologic and molecular level. Additionally, different modalities of treatment of cancer such as radiation, chemotherapy, immunotherapy, and hormonal therapies further increase the risk of CAD and acute coronary syndrome. Most large database analysis and single-center experiences have shown that cancer patients undergoing PCI are at an increased risk of in-hospital mortality, bleeding, repeat revascularization.Areas covered: In this review article the authors discuss the associations between CAD and cancer, challenges for PCI in cancer patients and outcome data.Expert opinion: Interventionists performing PCI on cancer patients should be cognizant of the heightened risk of bleeding, thrombosis, possible need for interruption of dual-antiplatelet therapy, and the increased risk of target lesion revascularization in this cohort. These risks may be partially mitigated by utilization of best practices such as the use of radial artery access, intravascular imaging for lesion assessment and stent optimization and avoidance of complex stenting strategies. Finally, it is of paramount importance to have a multidisciplinary approach consisting of the treating cardiologist, medical and/or surgical oncologist, and palliative medicine, and involve the patient and their family in making informed decisions.

Predictive Value of the Platelet-to-Lymphocyte Ratio in Cancer Patients Undergoing Transcatheter Aortic Valve Replacement

Objectives

The purpose of this study is to investigate the predictive value of the platelet-to-lymphocyte ratio (PLR)in cancer patients undergoing transcatheter aortic valve replacement (TAVR).

Background

The PLR is a promising marker to predict clinical outcomes in various cancer types as well as in cardiovascular disease.

Methods

Consecutive TAVR patients were enrolled in the study. We stratified patients into 2 groups: cancer and noncancer. Baseline complete blood counts with a differential hemogram were collected before TAVR. The primary outcome was all-cause death within a 3-year follow-up.

Results

In total, 240 of 1,204 patients (19.9%) had a cancer history. Cancer patients had a significantly higher baseline PLR than noncancer patients (median [interquartile range], 159.8 [109.6 to 244.6] vs. 150.3 [108.7 to 209.0]; p = 0.024). Kaplan-Meier analysis revealed that cancer patients had worse outcomes than noncancer patients (log-rank p < 0.001). Patients who died had a significantly higher baseline PLR than those who survived both in the cancer (p = 0.009) and noncancer (p = 0.027) groups. Multivariable analyses showed that the PLR (by 100 increase) was an independent predictor of adverse outcomes in both cancer (hazard ratio: 1.07; 95% confidence interval: 1.02 to 1.13; p = 0.006) and noncancer (hazard ratio: 1.20; 95% confidence interval: 1.06 to 1.36; p = 0.004). The highest mortality was observed for patients with cancer and increased PLR (above the median) (log-rank p < 0.001).

Conclusions

Cancer patients undergoing TAVR had a significantly higher PLR than those without cancer. Higher PLR was associated with a worse outcome following TAVR.

Differential predictive factors for cardiovascular events in patients with or without cancer history

Although attention has been paid to the relationship between malignant diseases and cardiovascular diseases, few data have been reported. Moreover, there have also been few reports in which the preventive factors were examined in patients with or without malignant disease histories requiring percutaneous coronary intervention (PCI).This was a retrospective, single-center, observational study. A total of 1003 post-PCI patients were divided into a malignant group, with current or past malignant disease, and a nonmalignant group. The primary endpoint was a composite of cardiovascular death, nonfatal myocardial infarction, stroke, revascularization, and admission due to heart failure within 5 years of PCI. Kaplan-Meier analysis showed a significantly higher probability of the primary endpoint in the malignant group (P = .002). Multivariable Cox hazard analyses showed that in patients without a history of malignant, body mass index (BMI) and the presence of dyslipidemia were independent and significant negative predictors of the primary endpoint (BMI: hazard ratio [HR] 0.73, 95% confidence interval [CI] 0.53-0.99, P = .041; prevalence of dyslipidemia: HR 0.72, 95% CI 0.52-0.99, P = .048), and the presence of multi-vessel disease (MVD) and the prevalence of peripheral artery disease (PAD) were independent and significant positive predictors of the primary endpoint (prevalence of MVD: HR 1.68, 95% CI 1.18-2.40, P = .004; prevalence of PAD: HR 1.51, 95% CI 1.03-2.21, P = .034). In patients with histories of malignancy, no significant independent predictive factors were identified.Patients undergoing PCI with malignancy had significantly higher rates of adverse cardiovascular events but might not have the conventional prognostic factors.

Percutaneous coronary intervention and in-hospital outcomes in patients with leukemia: a nationwide analysis

OBJECTIVES

To examine the association between current leukemia diagnosis and in-hospital clinical outcomes in patients undergoing percutaneous coronary intervention (PCI) in the United States.

BACKGROUND

Leukemia is the most common hematological malignancy and is associated with an increased risk of thrombotic and bleeding complications in patients undergoing PCI. There are limited data around clinical outcomes of leukemia patients undergoing PCI.

METHODS

We used the National Inpatient Sample to investigate the outcomes of leukemia patients undergoing PCI between 2004 and 2014. Patients were then subdivided into diagnoses of acute myeloid leukemia (AML) or chronic myeloid leukemia and acute lymphoid leukemia or chronic lymphoid leukemia (CLL). Multiple logistic regressions were used to study the association of a leukemia diagnosis with in-hospital outcomes: mortality, bleeding, vascular and cardiac complications, and stroke.

RESULTS

There were 6,561,445 records of patients who underwent PCI during the study time, of which 15,789 patients had a diagnosis of leukemia. The most common leukemia subtype was CLL accounting for 75% of the cohort (n = 10,800). After multivariable adjustment, a leukemia diagnosis was associated with significantly increased odds of in-hospital mortality (odds ratio [OR]: 1.41; 95% confidence interval [CI]: [1.11-1.79]) and bleeding (OR: 1.87; 95% CI: [1.56-2.09]), whereas patients with AML had a fivefold increase of in-hospital mortality (OR: 5.38; 95% CI: [2.94-9.76]).

CONCLUSIONS

Patients with current diagnosis of leukemia are at increased risk of procedure-related complications following PCI. A multidisciplinary approach is needed among interventional cardiologists, oncologists, and hematologists to minimize procedural complications and improve outcomes in this high-risk cohort.